435 search results - page 21 / 87 » Methods to Learn Abstract Scheduling Models |
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
EDUTAINMENT
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. This paper presents a strategy of dynamic user modeling for sketchbased user interface. A user model is defined as an incremental decision tree for a specific user. A dra...
GECCO
2010
Springer
14 years 10 days ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
ML
2012
ACM
12 years 3 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
ICANN
2009
Springer
14 years 5 days ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...